Stripe Projects
fossasia/eventyay
A skill your agent uses when the user wants to provision infrastructure or third-party services using Stripe Projects.
Read Prusa Connect cloud state for Prusa 3D printers: printers, jobs, files, cameras, stats, plus file upload.
Install Prusa Connect
$ npx skills add Anil-matcha/awesome-muse-connectors --skill prusa-connect -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install Anil-matcha/awesome-muse-connectors prusa-connect --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/Anil-matcha/awesome-muse-connectors.git skills-src && mkdir -p .claude/skills && cp -r skills-src/connectors/prusa-connect .claude/skills/prusa-connect && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "prusa-connect" agent skill from https://github.com/Anil-matcha/awesome-muse-connectors/tree/main/connectors/prusa-connect into .claude/skills/prusa-connect/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "prusa-connect", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/Anil-matcha/awesome-muse-connectors/tree/main/connectors/prusa-connectType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add Anil-matcha/awesome-muse-connectors --skill prusa-connect -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install Anil-matcha/awesome-muse-connectors prusa-connect --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Anil-matcha/awesome-muse-connectors.git skills-src && mkdir -p .agents/skills && cp -r skills-src/connectors/prusa-connect .agents/skills/prusa-connect && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "prusa-connect" agent skill from https://github.com/Anil-matcha/awesome-muse-connectors/tree/main/connectors/prusa-connect into .agents/skills/prusa-connect/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "prusa-connect", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add Anil-matcha/awesome-muse-connectors --skill prusa-connect -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install Anil-matcha/awesome-muse-connectors prusa-connect --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Anil-matcha/awesome-muse-connectors.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/connectors/prusa-connect .cursor/skills/prusa-connect && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "prusa-connect" agent skill from https://github.com/Anil-matcha/awesome-muse-connectors/tree/main/connectors/prusa-connect into .cursor/skills/prusa-connect/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "prusa-connect", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/Anil-matcha/awesome-muse-connectors.git --path connectors/prusa-connect--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add Anil-matcha/awesome-muse-connectors --skill prusa-connect -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install Anil-matcha/awesome-muse-connectors prusa-connect --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Anil-matcha/awesome-muse-connectors.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/connectors/prusa-connect .gemini/skills/prusa-connect && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "prusa-connect" agent skill from https://github.com/Anil-matcha/awesome-muse-connectors/tree/main/connectors/prusa-connect into .gemini/skills/prusa-connect/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "prusa-connect", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install Anil-matcha/awesome-muse-connectors prusa-connectInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add Anil-matcha/awesome-muse-connectors --skill prusa-connect -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/Anil-matcha/awesome-muse-connectors.git skills-src && mkdir -p .github/skills && cp -r skills-src/connectors/prusa-connect .github/skills/prusa-connect && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "prusa-connect" agent skill from https://github.com/Anil-matcha/awesome-muse-connectors/tree/main/connectors/prusa-connect into .github/skills/prusa-connect/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "prusa-connect", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add Anil-matcha/awesome-muse-connectors --skill prusa-connect -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install Anil-matcha/awesome-muse-connectors prusa-connect --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Anil-matcha/awesome-muse-connectors.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/connectors/prusa-connect .opencode/skills/prusa-connect && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "prusa-connect" agent skill from https://github.com/Anil-matcha/awesome-muse-connectors/tree/main/connectors/prusa-connect into .opencode/skills/prusa-connect/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "prusa-connect", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
prusa-connect- GitHub stars
- 1.3k
- Token cost
- ~896 tokens
- SKILL.md length
- 324 words
- Files
- 2
- Skills in repo
- 153
- Repo updated
- First seen
- Licence
- MIT
At a glance
Read Prusa Connect cloud state for Prusa 3D printers: printers, jobs, files, cameras, stats, plus file upload.
- Works in 4 steps: Reads (auth, printers, jobs, files,… → upload is a MEDIUM actuation (it writes… → Job pause/resume/cancel/restart are not… → …
- Phrases: prusa connect
- SKILL.md covers Purpose, Tooling, Auth and Operating Rules, plus 2 more sections
- Runs Python scripts from its folder
What it does
Prusa Connect is an agent skill from Anil-matcha/awesome-muse-connectors. Read Prusa Connect cloud state for Prusa 3D printers: printers, jobs, files, cameras, stats, plus file upload. Trigger phrases: prusa connect, prusa printer, prusa job, prusa camera.
Its SKILL.md is about 900 tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files (for example `bin/prusa-connect.py`).
It sits in Backend & APIs, covering File uploads and storage. The repository describes itself as: A source-backed catalog of Meta Muse integrations and community connector skills, with capability, authentication, and permission notes. The licence is MIT.
When your agent uses it
- Phrases: prusa connect
- Tasks that involve File uploads and storage
Example prompts
- “/prusa-connect”
Requirements
- Python 3
Workflow steps
4 steps, taken from the first numbered list in SKILL.md.
- Reads (auth, printers, jobs, files, cameras, stats) need no confirmation.
- upload is a MEDIUM actuation (it writes to printer storage): it needs --confirm naming the exact effect on first use per printer. The…
- Job pause/resume/cancel/restart are not available in this CLI. Do not improvise paths for them; the open item below explains why.
- Never exfiltrate the credential: the CLI only ever handles surrogates. Do not print, log, or transmit the token value.
What it can do on your machine
Read from SKILL.md and the folder at commit d6dc5d8. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
Ships script files (Python), which the agent can run.
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Prusa Connect loads about 896 tokens when it runs. Until then it costs about 49 tokens; SKILL.md has 324 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
Safety
Auto-check passed
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
SKILL.md
The full file from Anil-matcha/awesome-muse-connectors at commit d6dc5d8, republished under its MIT licence (© Anil-matcha). 324 words, ~896 tokens.
Download SKILL.mdSave it as
.claude/skills/prusa-connect/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.- name
- prusa-connect
- description
- Read Prusa Connect cloud state for Prusa 3D printers: printers, jobs, files, cameras, stats, plus file upload. Trigger phrases: prusa connect, prusa printer, prusa job, prusa camera.
- metadata.includeInPrompt
- true
- tagline
- Read Prusa 3D printer state through the official Prusa Connect cloud API: list printers and their state, list jobs and files, view cameras, read print…
- catalog_auth
- personal API token via the secure credential flow
- catalog_hosts
- connect.prusa3d.com
Prusa Connect
Purpose
Read Prusa 3D printer state through the official Prusa Connect cloud API: list printers and their state, list jobs and files, view cameras, read print statistics, and upload gcode files to printer storage. Use when the user mentions Prusa Connect or a networked Prusa printer (MK3/MK4/CORE One).
Tooling
All commands go through bin/prusa-connect.py.
bin/prusa-connect.py auth # verify the API token
bin/prusa-connect.py printers # printers and their state
bin/prusa-connect.py jobs # jobs and their status
bin/prusa-connect.py files # files in printer storage
bin/prusa-connect.py files --printer-id 12345
bin/prusa-connect.py cameras # printer cameras
bin/prusa-connect.py stats # print statistics
# MEDIUM, untested payload: --confirm "<exact effect>" on first use per printer
bin/prusa-connect.py upload --path ./benchy.gcode \
--confirm "upload benchy.gcode to Prusa Connect printer storage"Job pause/resume/cancel/restart are deliberately not shipped (see Maturity): the CLI will not guess their paths.
Auth
- Provider id:
prusa-connect(credential is collected ascustom.prusa-connect) - Collection: personal API token ("Access token") created in the Prusa Connect web UI under Settings > API Access, stored via the secure credential flow (
credentials.request_api_access); sent asAuthorization: Bearer <token> - Allowed hosts:
connect.prusa3d.com - Status check:
bin/prusa-connect.py auth(must return"ok": true)
Operating Rules
- Reads (
auth,printers,jobs,files,cameras,stats) need no confirmation. uploadis a MEDIUM actuation (it writes to printer storage): it needs--confirmnaming the exact effect on first use per printer. The upload payload is untested in this build, so verify the file landed in the Prusa Connect web UI before starting a print from it.- Job pause/resume/cancel/restart are not available in this CLI. Do not improvise paths for them; the open item below explains why.
- Never exfiltrate the credential: the CLI only ever handles surrogates. Do not print, log, or transmit the token value.
Files
- SKILL.md
- bin/prusa-connect.py
Maturity
🧪 Draft: written from the Prusa Connect API surface; not yet live-tested end-to-end.
Honesty flags: the read paths (/api/printers, /api/jobs, /api/files, /api/cameras, /api/stats) and the POST /api/files upload path are pinned in the documented API surface, but the exact write-endpoint paths for job pause/resume/cancel/restart could not be pinned from the official docs or the community SDK mirror at build time (2026-09-16), so they are deliberately not shipped. The upload payload shape is a standard multipart form and is untested; verify uploads in the web UI. This connector never guesses paths: anything unpinned stays out until it can be verified.
© Anil-matcha, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
SKILL.md and 1 other file in connectors/prusa-connect of Anil-matcha/awesome-muse-connectors.
- SKILL.md
- bin/prusa-connect.py
Open the folder on GitHubat commit d6dc5d8
Compare with similar skills
Prusa Connect next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Prusa Connect this skillAnil-matcha/awesome-muse-connectors | 1.3k | — | ~896 | Automated safety check: Pass | MIT | |
| Stripe Projectsfossasia/eventyay | 1.7k | 5 repos | ~2k | Automated safety check: Notes | Apache-2.0 | |
| FoundatioFoundatioFx/Foundatio | 2.1k | — | ~3.9k | Automated safety check: Pass | Apache-2.0 | |
| Spatialduckdb/duckdb-skills | 603 | 1 repos | ~1k | Automated safety check: Notes | MIT | |
| R Oopab604/claude-code-r-skills | 207 | 2 repos | ~1.9k | Automated safety check: Pass | MIT | |
| Edgestore Setupedgestorejs/edgestore | 454 | — | ~1.8k | Automated safety check: Pass | MIT |
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Questions about Prusa Connect
What does Prusa Connect do?
Read Prusa Connect cloud state for Prusa 3D printers: printers, jobs, files, cameras, stats, plus file upload. Prusa Connect is an agent skill from Anil-matcha/awesome-muse-connectors. Read Prusa Connect cloud state for Prusa 3D printers: printers, jobs, files, cameras, stats, plus file upload.
When should I use Prusa Connect?
Prusa Connect fits situations like: phrases: prusa connect; tasks that involve File uploads and storage.
How do I install Prusa Connect in Claude Code?
Run `npx skills add Anil-matcha/awesome-muse-connectors --skill prusa-connect -a claude-code`. Or copy the skill folder (connectors/prusa-connect in Anil-matcha/awesome-muse-connectors) into .claude/skills/prusa-connect in your project. Claude Code loads it when a task matches its description.
How do I install Prusa Connect in Codex?
Run `npx skills add Anil-matcha/awesome-muse-connectors --skill prusa-connect -a codex`. Or copy the skill folder (connectors/prusa-connect in Anil-matcha/awesome-muse-connectors) into .agents/skills/prusa-connect in your project. Codex loads it when a task matches its description.
Can I use Prusa Connect in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add Anil-matcha/awesome-muse-connectors --skill prusa-connect -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/prusa-connect, .gemini/skills/prusa-connect, .github/skills/prusa-connect and .opencode/skills/prusa-connect in your project.
What does Prusa Connect need to run?
Going by SKILL.md and its folder, Prusa Connect needs Python for the scripts in its folder. Our summary lists: Python 3.
Does Prusa Connect access the network?
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Is Prusa Connect safe to install?
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
What licence does Prusa Connect use?
Prusa Connect is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Prusa Connect use?
About 896 tokens (SKILL.md is roughly 3.6k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
What are the alternatives to Prusa Connect?
Skills that share tags, products or a category with Prusa Connect: Stripe Projects (fossasia/eventyay, 1.7k stars), Foundatio (FoundatioFx/Foundatio, 2.1k stars), Spatial (duckdb/duckdb-skills, 603 stars) and R Oop (ab604/claude-code-r-skills, 207 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Prusa Connect?
Anil-matcha (a GitHub user) maintains it in Anil-matcha/awesome-muse-connectors, which has 1,347 GitHub stars. The repository holds 153 skills in this directory. The repository was last updated on October 5, 2026.
Source: Anil-matcha/awesome-muse-connectors on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.